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Open Source · Observability

LLMSlim

The context layer for production AI agents: local-first context planning, compression and runtime for LLM apps.

Our verdict

Not reviewed yet

We have not reviewed LLMSlim yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About LLMSlim

LLMSlim is a community-built observability tool that provides the context layer for production AI agents. It handles local-first context planning, compression, and runtime support for LLM applications. Written in Python.

Best for

Developers building Python-based LLM agents needing local context management and compression

Use cases

  • Plan and manage context for production LLM agents
  • Compress context to reduce token usage or fit constraints
  • Run local context runtime for LLM apps

Notes

16 stars on GitHub. Last updated 2026-10-15. Licensed MIT.

Pros

  • Local-first approach keeps context planning on your infrastructure
  • Combines planning, compression, and runtime in one context layer
  • Python-based, fits into Python LLM workflows

Cons

  • Very small community (16 GitHub stars) limits support and reliability signals
  • Observability category but description focuses on context orchestration, scope may overlap
  • No evidence of production maturity or performance benchmarks

Key facts

What we have checked

Days since the last commit
1
Checked GitHub
GitHub forks
3
Checked GitHub
GitHub stars
25
Checked GitHub
Open issues
0
Checked GitHub
Releases in the last 90 days
15
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How LLMSlim is growing

GitHub stars

16 to 25

stars. 16 Oct 2026 to 7 Nov 2026, 3 readings.

Source: GitHub. Checked .

Health and security

Is LLMSlim looked after, and what do its setup files show

Health score

75 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 1 days ago
Releases15 of 1515 releases in 90 days
Issue repliesNot countedThe latest check has no issue response reading (fewer than 3 measured issues, or issues switched off)
Maintainer0 of 15Owned by a single user
Official sourceNot countedMCP servers only

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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